Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{201807,
        author = {Arun Kumar M and Rahul dhanush T and Gokul N and Ganesh Kumar A and Mr.S.Mariyappan},
        title = {Smart Attendance Monitoring System using Facial Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {10217-10219},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201807},
        abstract = {Attendance management is an important activity in educational institutions and organizations. Traditional attendance systems require manual effort and are often affected by proxy attendance, human errors, and inefficient record management. To overcome these issues, a Face Attendance System using facial recognition technology is proposed.
The developed system automates attendance marking by detecting and recognizing faces through a webcam. The application captures facial data, verifies user identity, and stores attendance records automatically in a database. The system improves accuracy, reduces manual effort, and provides secure attendance management.
The application was developed using modern web technologies including React.js for frontend development, Node.js and Express.js for backend processing, and PostgreSQL for database management. Facial recognition algorithms are integrated for real-time face detection and verification.
The proposed system demonstrates efficient attendance management with improved reliability and reduced chances of proxy attendance. The project can be used in schools, colleges, offices, and other organizations requiring automated attendance systems.},
        keywords = {Face Recognition, Attendance Management System, Facial Detection, React.js, Node.js, PostgreSQL, Automation, Artificial Intelligence.},
        month = {May},
        }